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System of integrating biosignals during hemodialysis: the CONTINUAL (Continuous mOnitoriNg viTal sIgN dUring hemodiALysis) registry
BACKGROUND: Appropriate monitoring of intradialytic biosignals is essential to minimize adverse outcomes because intradialytic hypotension and arrhythmia are associated with cardiovascular risk in hemodialysis patients. However, a continuous monitoring system for intradialytic biosignals has not yet...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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The Korean Society of Nephrology
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9184839/ https://www.ncbi.nlm.nih.gov/pubmed/35698753 http://dx.doi.org/10.23876/j.krcp.21.157 |
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author | Kim, Seonmi Yun, Donghwan Kwon, Soonil Lee, So-Ryoung Kim, Kwangsoo Kim, Yong Chul Kim, Dong Ki Oh, Kook-Hwan Joo, Kwon Wook Lee, Hyung-Chul Jung, Chul-Woo Kim, Yon Su Han, Seung Seok |
author_facet | Kim, Seonmi Yun, Donghwan Kwon, Soonil Lee, So-Ryoung Kim, Kwangsoo Kim, Yong Chul Kim, Dong Ki Oh, Kook-Hwan Joo, Kwon Wook Lee, Hyung-Chul Jung, Chul-Woo Kim, Yon Su Han, Seung Seok |
author_sort | Kim, Seonmi |
collection | PubMed |
description | BACKGROUND: Appropriate monitoring of intradialytic biosignals is essential to minimize adverse outcomes because intradialytic hypotension and arrhythmia are associated with cardiovascular risk in hemodialysis patients. However, a continuous monitoring system for intradialytic biosignals has not yet been developed. METHODS: This study investigated a cloud system that hosted a prospective, open-source registry to monitor and collect intradialytic biosignals, which was named the CONTINUAL (Continuous mOnitoriNg viTal sIgN dUring hemodiALysis) registry. This registry was based on real-time multimodal data acquisition, such as blood pressure, heart rate, electrocardiogram, and photoplethysmogram results. RESULTS: We analyzed session information from this system for the initial 8 months, including data for some cases with hemodynamic complications such as intradialytic hypotension and arrhythmia. CONCLUSION: This biosignal registry provides valuable data that can be applied to conduct epidemiological surveys on hemodynamic complications during hemodialysis and develop artificial intelligence models that predict biosignal changes which can improve patient outcomes. |
format | Online Article Text |
id | pubmed-9184839 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Korean Society of Nephrology |
record_format | MEDLINE/PubMed |
spelling | pubmed-91848392022-06-14 System of integrating biosignals during hemodialysis: the CONTINUAL (Continuous mOnitoriNg viTal sIgN dUring hemodiALysis) registry Kim, Seonmi Yun, Donghwan Kwon, Soonil Lee, So-Ryoung Kim, Kwangsoo Kim, Yong Chul Kim, Dong Ki Oh, Kook-Hwan Joo, Kwon Wook Lee, Hyung-Chul Jung, Chul-Woo Kim, Yon Su Han, Seung Seok Kidney Res Clin Pract Original Article BACKGROUND: Appropriate monitoring of intradialytic biosignals is essential to minimize adverse outcomes because intradialytic hypotension and arrhythmia are associated with cardiovascular risk in hemodialysis patients. However, a continuous monitoring system for intradialytic biosignals has not yet been developed. METHODS: This study investigated a cloud system that hosted a prospective, open-source registry to monitor and collect intradialytic biosignals, which was named the CONTINUAL (Continuous mOnitoriNg viTal sIgN dUring hemodiALysis) registry. This registry was based on real-time multimodal data acquisition, such as blood pressure, heart rate, electrocardiogram, and photoplethysmogram results. RESULTS: We analyzed session information from this system for the initial 8 months, including data for some cases with hemodynamic complications such as intradialytic hypotension and arrhythmia. CONCLUSION: This biosignal registry provides valuable data that can be applied to conduct epidemiological surveys on hemodynamic complications during hemodialysis and develop artificial intelligence models that predict biosignal changes which can improve patient outcomes. The Korean Society of Nephrology 2022-05 2022-05-23 /pmc/articles/PMC9184839/ /pubmed/35698753 http://dx.doi.org/10.23876/j.krcp.21.157 Text en Copyright © 2022 The Korean Society of Nephrology https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial and No Derivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ) which permits unrestricted non-commercial use, distribution of the material without any modifications, and reproduction in any medium, provided the original works properly cited. |
spellingShingle | Original Article Kim, Seonmi Yun, Donghwan Kwon, Soonil Lee, So-Ryoung Kim, Kwangsoo Kim, Yong Chul Kim, Dong Ki Oh, Kook-Hwan Joo, Kwon Wook Lee, Hyung-Chul Jung, Chul-Woo Kim, Yon Su Han, Seung Seok System of integrating biosignals during hemodialysis: the CONTINUAL (Continuous mOnitoriNg viTal sIgN dUring hemodiALysis) registry |
title | System of integrating biosignals during hemodialysis: the CONTINUAL (Continuous mOnitoriNg viTal sIgN dUring hemodiALysis) registry |
title_full | System of integrating biosignals during hemodialysis: the CONTINUAL (Continuous mOnitoriNg viTal sIgN dUring hemodiALysis) registry |
title_fullStr | System of integrating biosignals during hemodialysis: the CONTINUAL (Continuous mOnitoriNg viTal sIgN dUring hemodiALysis) registry |
title_full_unstemmed | System of integrating biosignals during hemodialysis: the CONTINUAL (Continuous mOnitoriNg viTal sIgN dUring hemodiALysis) registry |
title_short | System of integrating biosignals during hemodialysis: the CONTINUAL (Continuous mOnitoriNg viTal sIgN dUring hemodiALysis) registry |
title_sort | system of integrating biosignals during hemodialysis: the continual (continuous monitoring vital sign during hemodialysis) registry |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9184839/ https://www.ncbi.nlm.nih.gov/pubmed/35698753 http://dx.doi.org/10.23876/j.krcp.21.157 |
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